Senior Data Scientist

hace 1 semana

Medellín, Antioquia, Colombia Endava A tiempo completo

Transformative Data Science Opportunities

At Endava, we harness technology to drive meaningful change. Our Data&AI team is seeking a highly skilled and motivated Senior Data Scientist with expertise in AI to join our global community of innovators.

Key Responsibilities

  • Collaborate with clients to understand their business needs and develop innovative AI solutions.
  • Provide actionable insights that drive strategic decision-making through advanced analytics and data science expertise.
  • Work closely with clients to design and implement AI-driven solutions that meet their business objectives.
  • Stay up-to-date with the latest AI and machine learning trends and technologies to ensure our solutions remain cutting-edge.

Requirements

  • More than 5 years of experience in data science, AI, or related fields.
  • Proficiency in Python, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Experience with BI tools such as Tableau, Power BI, or similar for data visualization.
  • Strong background in AI/ML techniques, including natural language processing, computer vision, and predictive analytics.
  • Experience in managing a broad range of AI products and solutions as well as Generative AI (GenAI) solutions.
  • Knowledge of cloud hosting environments, particularly AWS, Azure, and other relevant platforms.
  • Knowledge of data warehousing concepts and ETL processes.
  • Excellent problem-solving and analytical skills.
  • Effective communication and client-facing skills.
  • Experience in contributing to pre-sales and business development activities.
  • Certifications in AI/ML, data science, or cloud platforms are a plus.
  • Experience with cloud-based AI/ML platforms (e.g., AWS SageMaker, Azure ML) is a plus.
  • Business proficiency level in English is a must.

What We Offer

  • Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus.
  • Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership.
  • Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences.
  • Hybrid work and flexible working hours, employee assistance programme.
  • Global internal wellbeing programme, access to wellbeing apps.
  • Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

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